Closed sorenaakjaer closed 2 months ago
Hello @sorenaakjaer! I'm here to help you with any bugs, questions, or contributions you have for the Langflow repository. Let me know how I can assist you!
The error you're encountering with the "ChatInput" and "ChatOutput" components in Langflow is due to validation issues with the Message
class. Specifically, the text
field in the Message
class is not being recognized as a valid string, and there are additional checks for AsyncIterator
and Iterator
types.
To resolve this issue, ensure that the text
field in the Message
class is correctly formatted as a string. Here are the key points to check:
Ensure text
is a String: The text
field should be a valid string. If it's not, you need to convert it to a string before passing it to the ChatOutput
component.
Validation Rules: The Message
class has specific validation rules to ensure the text
field is not an AsyncIterator
or Iterator
. Here is the relevant code snippet for the Message
class:
@field_serializer("text", mode="plain")
def serialize_text(self, value):
if isinstance(value, AsyncIterator):
return ""
elif isinstance(value, Iterator):
return ""
return value
Correct Parameters: Ensure that the parameters passed to the build
method of the ChatOutput
component are correctly provided and match the expected types. Here is the relevant code snippet for the ChatOutput
component:
from typing import Optional, Union
from langflow.base.io.chat import ChatComponent
from langflow.field_typing import Text
from langflow.schema import Record
class ChatOutput(ChatComponent):
display_name = "Chat Output"
description = "Display a chat message in the Interaction Panel."
icon = "ChatOutput"
def build(
self,
sender: Optional[str] = "Machine",
sender_name: Optional[str] = "AI",
input_value: Optional[str] = None,
session_id: Optional[str] = None,
return_record: Optional[bool] = False,
record_template: Optional[str] = "{text}",
) -> Union[Text, Record]:
return super().build_with_record(
sender=sender,
sender_name=sender_name,
input_value=input_value,
session_id=session_id,
return_record=return_record,
record_template=record_template or "",
)
Make sure that when you are using the ChatOutput
component, you provide the necessary parameters such as sender
, sender_name
, input_value
, session_id
, return_record
, and record_template
correctly. If any of these parameters are missing or incorrectly typed, it could lead to validation errors [1][2].
By ensuring the text
field is a valid string and correctly passing the parameters, you should be able to resolve the validation error.
To continue talking to Dosu, mention @dosu.
Hi
The problem is not on the Chat Output component as it also fails if a drag the ChatInput component to a OpenAI Model
ChatGPT suggest the follwing:
` from typing import Optional, Union from langflow.base.io.chat import ChatComponent from langflow.schema.message import Message from langflow.field_typing import Text from datetime import datetime import logging
class ChatInput(ChatComponent): display_name = "Chat Input" description = "Get chat inputs from the Playground." icon = "ChatInput"
def build_config(self):
build_config = super().build_config()
build_config["input_value"] = {
"input_types": [],
"display_name": "Text",
"multiline": True,
}
build_config["return_message"] = {
"display_name": "Return Record",
"advanced": True,
}
return build_config
def build(
self,
sender: Optional[str] = "User",
sender_name: Optional[str] = "User",
input_value: Optional[str] = None,
files: Optional[list[str]] = None,
session_id: Optional[str] = None,
return_message: Optional[bool] = True,
) -> Union[Message, Text]:
if input_value is None:
logging.error("input_value cannot be None")
raise ValueError("input_value cannot be None")
message = Message(
text=input_value,
sender=sender,
sender_name=sender_name,
timestamp=datetime.utcnow().isoformat(),
flow_id=None
)
logging.debug(f"Built message: {message}")
return message if return_message else input_value
`
It just seems strange that i need to make code adjustments to such a simple setup
I actually found a fix! If i add en "Text Output" in between there are not issue
I had same issue, after disabling return record value in chat input advanced option, issue not occurred.
Hello, Sorry for the delay. Did you try using the new version? Does the error still persist?
Hi @sorenaakjaer , I hope you're doing well. Just a friendly reminder that if we do not hear back from you within the next 3 days, we will close this issue. If you need more time or further assistance, please let us know.
Thank you for your understanding!
Thank you for your contribution! This issue will be closed. If you have any questions or encounter another problem, please open a new issue and we will be ready to assist you.
Describe the bug I have just installed Langflow and made the very simple flow only "ChatInput" and the "ChatOutput" compoent.
But when I run it I'm getteing the following error of the output of the ChatInput module.
In the terminal window i se the following: _"ValidationError: 3 validation errors for Message text.str Input should be a valid string [type=string_type, input_value=Message(text='Hey', sende...19:10:36', flow_id=None), input_type=Message] For further information visit https://errors.pydantic.dev/2.7/v/string_type text.is-instance[AsyncIterator] Input should be an instance of AsyncIterator [type=is_instance_of, input_value=Message(text='Hey', sende...19:10:36', flow_id=None), input_type=Message] For further information visit https://errors.pydantic.dev/2.7/v/is_instance_of text.is-instance[Iterator] Input should be an instance of Iterator [type=is_instance_of, input_value=Message(text='Hey', sende...19:10:36', flow_id=None), input_type=Message] For further information visit https://errors.pydantic.dev/2.7/v/is_instance_of
I have tested towards other compoents and it seems to be a problem format of the outfrom the "ChatInput" compoent.
Browser and Version
To Reproduce Steps to reproduce the behavior:
Screenshots
Additional context Here a the code if te ChatInput component